A filter bubble is a digital environment created by algorithms on social media platforms, search engines, and other online services that selectively present information to users based on their previous behaviors, preferences, and search history. This personalization can lead to users predominantly seeing content that aligns with their existing beliefs and interests, while filtering out opposing viewpoints or diverse perspectives. As a result, individuals may become isolated from differing opinions, reinforcing their own biases and potentially distorting their understanding of broader issues. Filter bubbles can impact public discourse, decision-making, and even contribute to polarization within society.